COM page indexes case examples of various types of computerized Decision Support Systems, decision automation systems and special decision support studies that use computerized analyses. Some of the cases are based upon field research, but many have been provided by software vendors. We have tried to confirm and verify the information in vendor supplied cases. We are always looking for detailed vendor provided cases to publish and opportunities for field research.
The influence diagram records the effect of a given variable on others, through simple graphic representations. The general principle of drawing a influence diagram is to work backwards: Figure 1 shows the influence diagram for the ABC case.
An Influence diagram for ABC The major advantage of drawing an influence diagram is to be able to model or structure the problem, that is, the sequence in which each variable affects and is affected by others, without dealing with the actual equations that relate these variables yet.
The next step in the method is to assign functional relations to the influence relations found see Table 2. Most of the common models found in business practice are accounting-like, that is, linear in form.
Other functional relations exponential, logarithmic, logistic, hyperbolic have also been used in business models. This is valid for most of the financial, mathematical, and statistical functional forms.
Finally, the last activity is to determine the data needs. This is accomplished in a very simple way: Historical data for all the variables may also be required as a comparison with previous periods in time.
Application of the Requisite Variety Principle In order to properly provide the requisite variety  for a DSS, output representations should be designed to compare the effect of different alternatives in intermediate and outcome variables. The number of possible comparisons and their types will depend upon the specific situation, but a comparison between three basic alternatives worst, best, and expected cases should always be provided.
In the ABC case six different alternative comparisons were provided, as shown in figure 2. For each of the alternatives shown in the final analysis, an infinite number of iterations takes place before they are selected to compare with others obtained in the same way.
Comparison of Alternatives The output format for each individual alternative is shown in figure 3, in the part 4 of this work. Both stages are highly connected in the DSS development process, given that there are no standards for DSS Generators, and therefore the design needs to take into consideration the specific features of a given DSS Generator.
In this work Lotus was used as the DSS Generator for its simplicity and large penetration in the end-user community. Lotus has a quite powerful Dialog Management System, with a strong and friendly presentation language -- the spreadsheet and the graphics -- based on the "input-in-context of output" principle , and increasingly powerful action language -- the macros.
The Model Management System supports the implementation of accounting-like, financial, and basic statistic functions, and of what-if and sensitivity analysis. Auxiliary variables should be introduced in the equation to simplify the if-then manipulation.
The variables-for-manipulation should be located in the same area of the model. This area should be identified as the only valid data entry area in the model.
It should be noted that the structure shown in table 1, part 3, was maintained for illustration purposes only. Nevertheless, the variables-for-manipulation would still be put together as in the example.
After these commands, Lotus shows in reverse video the areas where the data can be entered, and the word-wrap feature also works with the fields we unprotect to enter data, meaning that when the last entry is reached if we try to go any further the cursor moves to the first entry point again.
As originally developed is composed of: Their basic elements are: Figure 4 shows the usage of the dialog decision tree diagram for the ABC case. The squares indicate the decision points -- always in our example a combination of representations and menus, the circles indicate the actions -- what models and data should be used, and the arrows indicate the alternatives.Decision Support Systems (DSS) Optimal—A Case Study from the Czech Republic Robert Marušák *, Jan Kašpar and Petr Vopěnka Optimal is a decision Support System.
Types of Decision Support Systems (DSS). Data-Driven DSS take the massive amounts of data available through the company’s TPS and MIS systems and cull from it useful information which executives can use to make more informed decisions.
They don’t have to have a theory or model but can “free-flow” the data. The first generic type of Decision Support System is a Data-Driven DSS.
The DSS must be flexible and dependent on the case study. CATEGORISATION Professor Daniel J.
Power, “Univerisity of Northen Iowa”, in the essay Decision Support Systems: Concepts and Resources for Managers, published by DSSResources. ACASESTUDYOFTHEUSEOFADECISIONSUPPORTSYSTEM INTRODUCTION Articleswhichdescribetheimpactofinteractive,conversational computersonhigh-levelmanagement.
A Decision Support System (DSS) refers to a class of systems which support the process of making decisions. The emphasis is on ‘support’ rather than an automation of decisions .
DSS allow decision makers to retrieve data and test alternative solutions during the process of problem solving. The MTIS Design and Implementation of IF-THEN decision support systems is based on the variables-for-manipulation analysis, on the dialog decision trees diagrams, and on the implementation principles specific to the DSS Generator.